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Pierre André Chiappori (Columbia) "Family Economics" - Cemmap

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4.1.4 Distribution factors<br />

4. The collective model: a formal analysis 161<br />

We may now reintroduce distribution factors. An interesting feature is that<br />

such factors do not change the Pareto frontier, but only the Pareto weight.<br />

In geometrical terms, thus, they can only generate moves along the Pareto<br />

frontier (from II to III in Figure 3.8). This suggests that analyzing the<br />

impact of distribution factors may help understanding the nature and the<br />

form of such moves. This intuition can be given a formal translation. Equation<br />

(4.4) above can now be rewritten as:<br />

ˆg (r,x,z) =˜g (r,x,μ(r,x,z)) (4.13)<br />

Because the same μ (.) function appears in all goods the collective model<br />

yields cross-equation restrictions. To see this, consider the consequences of<br />

a marginal change in distribution factor zk on the collective demand for<br />

commodity i:<br />

∂ˆgi<br />

=<br />

∂zk<br />

∂˜gi ∂μ<br />

(4.14)<br />

∂μ ∂zk<br />

Comparing the effect of different distribution factors, say zk and zl, wefind<br />

that (assuming ∂gi/∂zl 6= 0):<br />

∂ˆgi/∂zk<br />

∂ˆgi/∂zl<br />

= ∂μ/∂zk<br />

∂μ/∂zl<br />

(4.15)<br />

The right hand side term is independent of the good we are considering.<br />

Hencewehavetheproportionality property that the ratio of derivatives<br />

with respect to two sharing factors is the same for all goods. The result<br />

that the impact of zk and zl must be proportional across commodities is<br />

very important empirically, and can be given various equivalent forms; for<br />

instance, we can write that 5<br />

∂ˆgi<br />

=<br />

∂zk<br />

∂μ/∂zk<br />

.<br />

∂μ/∂zl<br />

∂ˆgi<br />

(4.16)<br />

∂zl<br />

If the impact of a change in zk on household demand for good i is, say, twice<br />

as large as that of zl, then the same must be true for all commodities; and<br />

we can actually conclude that the impact of zk on the Pareto weight μ is<br />

twice as large as that of zl. Intuitively, whatever the number of distribution<br />

factors, they only operate through their impact on μ; hence their impact<br />

is one-dimensional. In a sense, it is as if there was one distribution factor<br />

only. This prediction is empirically testable (subject to having at least two<br />

distribution factors); possible tests will be discussed in the next chapter.<br />

Another interesting feature of (4.14) is that it provides additional information<br />

about the structure of price and income effects in the collective<br />

5 Equivalently, the matrix Dzg with general terms ∂g i<br />

∂z k is of rank (at most) one.

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